Optimization of Open-cast Mining Procedure Based on RSR Method

To explore the optimal evaluation mechanism of open-cast mining procedure,this paper takes the actual operation status of Huolinhe No.1 Open-cast Mine as the research basis,and makes a deep analysis of the four representative mining procedures proposed by this mine.A detailed and comprehensive evaluation system is constructed using rank-sum ratio(RSR)method.The system covers 17 key indicators and aims to evaluate the advantages and disadvantages of each scheme in an all-round and multi-angle manner.Through the calculation and analysis by RSR method,the comprehensive evaluation of the four types of mining procedure schemes is carried out,and finally the secondary river improvement project is determined as the optimal mining implementation scheme,and the joint mining scheme of the south and north areas is the alternative strategy.The research results of this paper are objective,clear and definite,can not only reveal the effectiveness and feasibility of RSR method in solving the problem of open-cast mining procedure optimization,but also provide a strong technical support and decision-making basis for the future production development of Huolinhe No.1 Open-cast Mine.Thus,this study is expected to further promote the scientific and refined process of mining operations.

A Classification of Completely Positive Maps

This paper concerns classifying completely positive maps between certain C*-algebras. Several invariants for classifying completely positive maps are constructed. It is proved that one of them is isomorphic to the Ext-group of C*-algebra extensions in special circumstances. Furthermore, this invariant induces a functor from C*-algebras to abelian groups which is split-exact.

An atlas of CNV maps in cattle, goat and sheep

Copy number variation(CNV)is the most prevalent type of genetic structural variation that has been recognized as an important source of phenotypic variation in humans,animals and plants.However,the mechanisms underlying the evolution of CNVs and their function in natural or artificial selection remain unknown.Here,we generated CNV region(CNVR)datasets which were diverged or shared among cattle,goat,and sheep,including 886 individuals from 171 diverse populations.Using 9 environmental factors for genome-wide association study(GWAS),we identified a series of candidate CNVRs,including genes relating to immunity,tick resistance,multi-drug resistance,and muscle development.The number of CNVRs shared between species is significantly higher than expected(P<0.00001),and these CNVRs may be more persist than the single nucleotide polymorphisms(SNPs)shared between species.We also identified genomic regions under long-term balancing selection and uncovered the potential diversity of the selected CNVRs close to the important functional genes.This study provides the evidence that balancing selection might be more common in mammals than previously considered,and might play an important role in the daily activities of these ruminant species.